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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 8279
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    Explanations

    ingredients and seasoning terms related to food preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     quæ
    -0.98
     ſtate
    -0.94
     Anſ
    -0.91
     Reſ
    -0.88
    脚注の使い方
    -0.87
     pleaſure
    -0.87
     fubject
    -0.86
     ftate
    -0.86
     greateſt
    -0.85
     purpoſe
    -0.82
    POSITIVE LOGITS
     spices
    0.86
    spice
    0.82
     spice
    0.82
     Spices
    0.80
     seasonings
    0.78
     seasoning
    0.77
     flavor
    0.75
     Spice
    0.70
     spiced
    0.67
    Spice
    0.65
    Activations Density 0.110%

    No Known Activations